Learning discriminative singular value decomposition representation for face recognition

作者：

Highlights：

• A novel singular value decomposition based representation method is provided.

• An individual basis set for each image is built through the SVD technique.

• A common set of singular values is learnt via a discriminant criterion.

• Sequential quadratic programming (SQP) method is used to solve our model.

摘要

•A novel singular value decomposition based representation method is provided.•An individual basis set for each image is built through the SVD technique.•A common set of singular values is learnt via a discriminant criterion.•Sequential quadratic programming (SQP) method is used to solve our model.

论文关键词：Face representation,Singular value decomposition (SVD),Learning discriminative singular value decomposition representation (LDSVDR),Sequential quadratic programming (SQP)

论文评审过程：Received 16 September 2014, Revised 10 July 2015, Accepted 11 August 2015, Available online 21 August 2015, Version of Record 5 November 2015.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.08.010